For end-to-end simulation solutions for autonomous vehicles, aiMotive has a comprehensive platform. Their suite includes aiSim, a virtual validation tool with ISO26262 ASIL-D certification, aiDrive for all levels of autonomy, aiWare for AI inference hardware, aiData for data collection and annotation, and aiDVS for data versioning. The platform enables OEMs to build scalable AD features, ensuring quality and reducing development costs.
Another interesting option is Scale, which offers a range of data products for autonomous vehicles. Their For Automotive product offers data for L2 to L5 autonomy, and they also offer a full-stack generative AI platform. Scale's high-quality data and scalable solutions can help improve model performance and tackle more complex AI tasks, making them a good option for autonomous vehicle development.
Altair has a wide range of tools for simulation, HPC, data analytics, and AI. This includes AI-powered simulation and design, physics-based predictions, and data-driven manufacturing solutions. The platform can help accelerate product design, reduce waste, and improve performance in the automotive industry, making it a good option for autonomous vehicle development.
For a hardware-centric approach, Mobileye is a top player in autonomous driving technology. Their suite includes driver-assist systems, premium driver-assist systems, and end-to-end self-driving systems. With a focus on safety and scalability, Mobileye's solutions can be used in a wide range of vehicle types, making them a good option for automakers looking to stand out from the competition with advanced autonomous features.